Autonomous Instrumentation for Measuring Electromagnetic Radiation from Rocks in Mine Conditions—A Functional Analysis

This paper analyses the function of an innovative integrated receiver for the measurement of electromagnetic field emissions. The autonomous receiver measures and registers the elevated emission levels of both components of the EM field originating from rocks subjected to increased mechanical stress. The receiver’s sensitivity of 60 µV/m, its dynamic range of 98 dB, and its impulse response of 0.23 V/µs were determined in laboratory conditions. Real EM field signals from hard coal samples subjected to crushing force were recorded using an autonomous receiver. The observed and recorded results confirm that the receiver operates in the full range of amplitudes of the EM field signal emitted from the rock. The results determine the band of characteristic signals for EM field emission from hard coal. The system created on the basis of autonomous EM receivers can support the existing seismic safety systems in real mine conditions by predicting the possibility of mine collapse hazards.

The integrated environmental monitoring system as a key factor of environmental safety of chemical weapons storage and destruction facilities

In the destruction of chemical weapons initiated in the Russian Federation in 1996, environmental safety issues played a key role in the creation of facilities for storing and destroying chemical weapons. The process of destroying chemical weapons is at the stage of eliminating consequences of activities and involving former destruction facilities in the economic turnover. The issue of development of safety systems is relevant. The purpose of the article is to study problems in the system of environmental safety insurance at chemical weapons destruction facilities and to identify possible ways of further development. The main methods used are analysis of information, induction, analogies, and generalization. The following conclusions were drawn: the environmental safety system fits into the system of safety insurance; the key subsystem is highly accurate and prompt environmental monitoring. Responding to the principles of the construction of head systems, complex monitoring systems were created at chemical weapons destruction facilities. The improvement of this subsystem can improve the environmental safety at these facilities; further development of the integrated environmental monitoring system requires the methods of data analysis and processing tools. Since the result of the monitoring system is information, its processing and interpretation is the most complex and time-consuming process. The use of modern information processing tools can reduce the time for an analysis, improve the quality, and create an information base for decision support systems in the environmental safety system. The research made it possible to outline further ways to improve the environmental safety systems at chemical weapons destruction facilities, which will further ensure the environmental safety and sustainability of chemical weapons destruction facilities and other potentially dangerous facilities that affect the environment.

Work Leadership, Occupational Health, and Safety

Occupational health and safety (OHS) systems are designed to identify and minimize risks at the workplace. A thriving business community should seek to create jobs, wealth, good leadership, safe, and healthy working conditions that are essential for production of goods and provisions of services. Therefore, managers have a legal and moral duty to safeguard the health and safety of those who work for them, and the exercise of these duties needs to be seen as central to the role of leadership. There is a growing interest among researchers and organizational practitioners about occupational safety in recent years. The chapter provides an exhaustive discourse on the relevance of occupational health and safety systems in modern day workplaces as well as the nexus between management leadership and occupational health and safety. It highlights the guiding principles to leadership and key issues in efficient administration of OHS. The chapter concludes by recommending the role leaders should play to improve safety and health in the workplace.

Designing a Vehicle Collison-Avoidance Safety System using Arduino

The future of automotive relies on the mechatronic and electronic systems. The worldwide growth of automotive towards electronic systems suggests that driverless cars would soon be the common commuters. With such improvements safety of the passengers becomes first priority for the manufacturers. Nowadays automobiles come with high end technologies and quick responsive electronic systems. In addition to the passive safety systems, active safety systems definitely avoid collision thereby reducing the chances of injury and death. This project shows the working of an active safety system that is collision avoidance system. To create the model, TINKERCAD software has been used and a detailed working is explained. As a result, the system detects traffic and can alert the driver and stop the vehicle before meeting the collision. Keywords: Active Safety System, Arduino, Tinkercad, Vehicle Electronics System, Automotive Safety System, Collision Avoidance System, Self-Driving Car, Driverless Vehicle.

Food Defense – do conceito às atuais exigências do mercado internacional

O conceito food defense emergiu nos EUA como resposta aos atentados terroristas do 11 de Setembro, em 2001. A Food and Drug Administration (FDA) e outras agências desenvolveram medidas para proteger a cadeia alimentar do país aos ataques maliciosos. O objetivo consistia em adotar medidas preventivas da contaminação intencional da água e alimentos, onde indivíduos recorrem a agentes (biológicos, químicos ou físicos) com o intuito de causar prejuízos às organizações, governos ou à população. A vulnerabilidade da cadeia alimentar propiciou a difusão deste conceito através de normas certificáveis como: International Featured Standards (IFS), British Retail Consortium (BRC) e Food Safety Systems Certification (FSSC 22000). Este estudo tem como objetivo a emergência do conceito food defense (defesa alimentar), junto aos termos já conhecidos: food quality (qualidade alimentar), food safety (segurança alimentar), food security (acessibilidade alimentar) e food fraud (fraude alimentar), através das regulamentações, leis, metodologias e ferramentas para implementação de food defense nas cadeias de produção e distribuição de alimentos de empresas exportadoras até empresas familiares. Metodologia: análise qualitativa através de pesquisa bibliográfica nas bases Scopus, Web of Science e SciELO. Espera-se que os resultados deste estudo despertem a necessidade de formar profissionais da área de alimentos conhecedores do conceito food defense, e que orientem a adoção de medidas conceituais e práticas que previnam e controlem a contaminação intencional de alimentos, de forma a atender às exigências dos mercados consumidores e às normas e legislações vigentes pertinentes à qualidade e segurança dos alimentos.

Robust Lane Detection and Tracking Algorithm for Steering Assist Systems

Modern vehicles rely on a multitude of sensors and cameras to both understand the environment around them and assist the driver in different situations. Lane detection is an overall process as it can be used in safety systems such as the lane departure warning system (LDWS). Lane detection may be used in steering assist systems, especially useful at night in the absence of light sources. Although developing such a system can be done simply by using global positioning system (GPS) maps, it is dependent on an internet connection or GPS signal, elements that may be absent in some locations. Because of this, such systems should also rely on computer vision algorithms. In this paper, we improve upon an existing lane detection method, by changing two distinct features, which in turn leads to better optimization and false lane marker rejection. We propose using a probabilistic Hough transform, instead of a regular one, as well as using a parallelogram region of interest (ROI), instead of a trapezoidal one. By using these two methods we obtain an increase in overall runtime of approximately 30%, as well as an increase in accuracy of up to 3%, compared to the original method.

Improving Fire Safety Systems Based On Internet Of Things And Deep Learning

Structure fires are one of the main concerns for fire safety systems. The actual fire safety of a building depends on not only how it is designed and constructed, but also on how it is operated. Computational fluid dynamics software is the current solution to reduce the casualties in the fire circumstances. However, it consumes hours to provide the results in some cases that makes it hard to run in real-time. It also does not accept any changes after starting the simulation, which makes it unsuitable for running in the dynamic nature of the fire. On the other hand, the current evacuation signs are fixed, which might guide occupants and firefighter to dangerous zones.<div><br><div>In this research, we present a smoke emulator that runs in real-time to reflect what is happening on the ground-truth. This system is achieved using a light-weight smoke emulator engine, deep learning, and internet of things. The IoT sensors are sending the measurements to correct the emulator from any deviation and reflect events such as fire starting, people movement, and the door’s status. This emulator helps the firefighter by providing them with a map that shows the smoke development in the building. They can take a snapshot from the current status of the building and try different virtual evacuation and firefighting plans to pick the best and safest for them to proceed. The system will also control the exit signs to have adaptive exit routes that guide occupants away from fire and smoke to minimize the exposure time to the toxic gases<br></div></div>

Improving Fire Safety Systems Based On Internet Of Things And Deep Learning

Structure fires are one of the main concerns for fire safety systems. The actual fire safety of a building depends on not only how it is designed and constructed, but also on how it is operated. Computational fluid dynamics software is the current solution to reduce the casualties in the fire circumstances. However, it consumes hours to provide the results in some cases that makes it hard to run in real-time. It also does not accept any changes after starting the simulation, which makes it unsuitable for running in the dynamic nature of the fire. On the other hand, the current evacuation signs are fixed, which might guide occupants and firefighter to dangerous zones.<div><br><div>In this research, we present a smoke emulator that runs in real-time to reflect what is happening on the ground-truth. This system is achieved using a light-weight smoke emulator engine, deep learning, and internet of things. The IoT sensors are sending the measurements to correct the emulator from any deviation and reflect events such as fire starting, people movement, and the door’s status. This emulator helps the firefighter by providing them with a map that shows the smoke development in the building. They can take a snapshot from the current status of the building and try different virtual evacuation and firefighting plans to pick the best and safest for them to proceed. The system will also control the exit signs to have adaptive exit routes that guide occupants away from fire and smoke to minimize the exposure time to the toxic gases<br></div></div>

Implementation of Smart Technologies in the Mine

The basic methods and principles of mine safety systems have been considered in the paper. The algorithm of one possible smart device (smart helmet) is depicted. This algorithm describes the basic principles of this device. The device allows to find danger in the environment where the miner works, as well as monitors the condition of the miner. It can also quickly analyze this information and report the danger when it is detected. The system has been developed and programmed including basic modules for implementing this algorithm. The results of the comparative analysis of the new system showed an increase in the level of safety by 45% compared to other systems.